A frontier language model can optimize an agent's skill without a prescribed improvement pipeline, matching structured baselines while using fewer target interactions, provided the optimizer is strong enough.
Reflexion: Language Agents with Verbal Reinforcement Learning
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Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?
A frontier language model can optimize an agent's skill without a prescribed improvement pipeline, matching structured baselines while using fewer target interactions, provided the optimizer is strong enough.